Jos Elfring is an Assistant Professor and Chair of Methods of World Modeling for Autonomous Systems at the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). Jos’ key researching areas is world modeling techniques, in addition, he is specialized in robotics, automated driving, motion planning, motion prediction, localization, mapping, state estimation and multi sensor fusion.
Jos Elfring received his MSc in Mechanical Engineering from TU/e in 2009 and his PhD in 2014. His internship (‘The Impact of Parameter Identification Methods on Physiological Modeling and Control) took place at the University of Canterbury (Christchurch, New Zealand) in 2007. Jos’ MSc research revolves around ‘System Identification and Multivariable Control of a Hydraulically Actuated Pushbelt CVT’ and hs PhD thesis dealt with Semantic World Modeling for Autonomous Robots. He successfully finished the DISC (Dutch Institute of Systems and Control) course program in 2011 and was a member of the Tech United RoboCup@Home team for several years. In addition to his work at TU/e, Jos is Team lead Shared World Modeling and Localization group, part of the Integrated Vehicle Safety Department at TNO Automotive, where he focuses on automated driving. Part of his research efforts focus on collaboration and joint development of world models with TNO and TU/e.
Effective world modelingSensors (2016)
Learning intentions for improved human motion predictionRobotics and Autonomous Systems (2014)
Semi-task-dependent and uncertainty-driven world model maintenanceAutonomous Robots (2014)
Semantic world modeling using probabilistic multiple hypothesis anchoringRobotics and Autonomous Systems (2013)
RoboEarthIEEE Robotics and Automation Magazine (2011)
- Data fusion & semantic interpretation
- Research engineer autonomous driving team, TomTom